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Reseach Article

A Meta-heuristically Approach of the Spatial Assignment Problem of Human Resources in Multi-sites Enterprise

by Tkatek Said, Abdoun Otman, Abouchabaka Jaafar, Rafalia Najat
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 7
Year of Publication: 2013
Authors: Tkatek Said, Abdoun Otman, Abouchabaka Jaafar, Rafalia Najat
10.5120/13500-1248

Tkatek Said, Abdoun Otman, Abouchabaka Jaafar, Rafalia Najat . A Meta-heuristically Approach of the Spatial Assignment Problem of Human Resources in Multi-sites Enterprise. International Journal of Computer Applications. 78, 7 ( September 2013), 15-21. DOI=10.5120/13500-1248

@article{ 10.5120/13500-1248,
author = { Tkatek Said, Abdoun Otman, Abouchabaka Jaafar, Rafalia Najat },
title = { A Meta-heuristically Approach of the Spatial Assignment Problem of Human Resources in Multi-sites Enterprise },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 7 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 15-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number7/13500-1248/ },
doi = { 10.5120/13500-1248 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:50:58.768381+05:30
%A Tkatek Said
%A Abdoun Otman
%A Abouchabaka Jaafar
%A Rafalia Najat
%T A Meta-heuristically Approach of the Spatial Assignment Problem of Human Resources in Multi-sites Enterprise
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 7
%P 15-21
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of this work is to present a meta-heuristically ap-proach of the spatial assignment problem of human resources in multi-sites enterprise. Usually, this problem consists to move employees from one site to another based on one or more criteria. Our goal in this new approach is to improve the quality of service and performance of all sites with maximizing an objective function under some managers imposed constraints. The formulation presented here of this problem coincides perfectly with a Combinatorial Optimization Problem (COP) which is in the most cases NP-hard to solve optimally. To avoid this difficulty, we have opted to use a meta-heuristic popular method, which is the genetic algorithm, to solve this problem in concrete cases. The results obtained have shown the effectiveness of our approach, which remains until now very costly in time. But the reduction of the time can be obtained by different ways that we plan to do in the next work.

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Index Terms

Computer Science
Information Sciences

Keywords

Human Resources Spatial Assignment Problem Meta-heuristic Method Genetic Algorithms NP-hard Problem.